Upulee Kanewala

According to our database, Upulee Kanewala authored at least 30 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving the Efficacy of Testing Scientific Software: Insights from Mutation Testing.

Kris Roker, Upulee Kanewala

Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2024, 2024

MLHCBugs: A Framework to Reproduce Real Faults in Healthcare Machine Learning Applications.

Guna Sekaran Jaganathan, Nazmul Kazi, Indika Kahanda, Upulee Kanewala

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2024

Poster: Towards Understanding Root Causes of Real Failures in Healthcare Machine Learning Applications.

Guna Sekaran Jaganathan, Nazmul Kazi, Indika Kahanda, Upulee Kanewala

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2024

2023

A Test Suite Minimization Technique for Testing Numerical Programs.

Prashanta Saha, Clemente Izurieta, Upulee Kanewala

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

2022

Metamorphic relation prioritization for effective regression testing.

Madhusudan Srinivasan, Upulee Kanewala

Softw. Test. Verification Reliab., 2022

Workshop Summary: 7th International Workshop on Metamorphic Testing (MET 2022).

Xiaoyuan Xie, Upulee Kanewala, Alastair F. Donaldson

ACM SIGSOFT Softw. Eng. Notes, 2022

Prioritization of Metamorphic Relations to reduce the cost of testing.

Madhusudan Srinivasan, Upulee Kanewala

CoRR, 2022

Using Metamorphic Relations to Improve The Effectiveness of Automatically Generated Test Cases.

Prashanta Saha, Upulee Kanewala

Proceedings of the 20th IEEE/ACIS International Conference on Software Engineering Research, 2022

Learning I/O Variables from Scientific Software's User Manuals.

Zedong Peng, Xuanyi Lin, Sreelekhaa Nagamalli Santhoshkumar, Nan Niu, Upulee Kanewala

Proceedings of the Computational Science - ICCS 2022, 2022

2021

Contextual Understanding and Improvement of Metamorphic Testing in Scientific Software Development.

Zedong Peng, Upulee Kanewala, Nan Niu

Proceedings of the ESEM '21: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2021

2020

Improving The Effectiveness of Automatically Generated Test Suites Using Metamorphic Testing.

Prashanta Saha, Upulee Kanewala

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

MRpredT: Using Text Mining for Metamorphic Relation Prediction.

Karishma Rahman, Indika Kahanda, Upulee Kanewala

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

2019

Metamorphic Testing: A Simple Yet Effective Approach for Testing Scientific Software.

Upulee Kanewala, Tsong Yueh Chen

Comput. Sci. Eng., 2019

Metamorphic Testing for Quality Assurance of Protein Function Prediction Tools.

Morteza Pourreza Shahri, Madhusudan Srinivasan, Gillian Reynolds, Diane Bimczok, Indika Kahanda, Upulee Kanewala

Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2019

Fault Detection Effectiveness of Metamorphic Relations Developed for Testing Supervised Classifiers.

Prashanta Saha, Upulee Kanewala

Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2019

2018

A look back at the quality of Protein Function Prediction tools in CAFA.

Morteza Pourreza Shahri, Madhusudan Srinivasan, Diane Bimczok, Upulee Kanewala, Indika Kahanda

PeerJ Prepr., 2018

Systematic Testing of Genetic Algorithms: A Metamorphic Testing based Approach.

Janette Rounds, Upulee Kanewala

CoRR, 2018

Predicting Metamorphic Relation for Matrix Calculation Programs.

Karishma Rahman, Upulee Kanewala

CoRR, 2018

Quality Assurance of Bioinformatics Software: A Case Study of Testing a Biomedical Text Processing Tool Using Metamorphic Testing.

Madhusudan Srinivasan, Morteza Pourreza Shahri, Indika Kahanda, Upulee Kanewala

Proceedings of the 3rd IEEE/ACM International Workshop on Metamorphic Testing, 2018

Fault Detection Effectiveness of Source Test Case Generation Strategies for Metamorphic Testing.

Prashanta Saha, Upulee Kanewala

Proceedings of the 3rd IEEE/ACM International Workshop on Metamorphic Testing, 2018

Predicting Metamorphic Relations for Matrix Calculation Programs.

Karishma Rahman, Upulee Kanewala

Proceedings of the 3rd IEEE/ACM International Workshop on Metamorphic Testing, 2018

Using Semi-Supervised Learning for Predicting Metamorphic Relations.

Bonnie Hardin, Upulee Kanewala

Proceedings of the 3rd IEEE/ACM International Workshop on Metamorphic Testing, 2018

2017

MET 2017 Workshop Summary.

Laura L. Pullum, Dave Towey, Upulee Kanewala, Chang-Ai Sun, Márcio Eduardo Delamaro

Proceedings of the 2nd IEEE/ACM International Workshop on Metamorphic Testing, 2017

2016

Predicting metamorphic relations for testing scientific software: a machine learning approach using graph kernels.

Upulee Kanewala, James M. Bieman, Asa Ben-Hur

Softw. Test. Verification Reliab., 2016

Experiences of testing bioinformatics programs for detecting subtle faults.

Anders Lundgren, Upulee Kanewala

Proceedings of the International Workshop on Software Engineering for Science, 2016

2015

Automated Test Oracles: State of the Art, Taxonomies, and Trends.

Rafael A. P. Oliveira, Upulee Kanewala, Paulo Augusto Nardi

Adv. Comput., 2015

2014

Testing scientific software: A systematic literature review.

Upulee Kanewala, James M. Bieman

Inf. Softw. Technol., 2014

Techniques for Automatic Detection of Metamorphic Relations.

Upulee Kanewala

Proceedings of the Seventh IEEE International Conference on Software Testing, 2014

2013

Using machine learning techniques to detect metamorphic relations for programs without test oracles.

Upulee Kanewala, James M. Bieman

Proceedings of the IEEE 24th International Symposium on Software Reliability Engineering, 2013

Techniques for testing scientific programs without an Oracle.

Upulee Kanewala, James M. Bieman

Proceedings of the 5th International Workshop on Software Engineering for Computational Science and Engineering, 2013